Triple

T17521976
Position Surface form Disambiguated ID Type / Status
Subject packaging E426696 entity
Predicate supportsStandard P1587 FINISHED
Object PEP 425
PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
E1274413 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PEP 425 | Statement: [packaging, supportsStandard, PEP 425]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEP 425
Context triple: [packaging, supportsStandard, PEP 425]
  • A. PEP 552
    PEP 552 is a Python Enhancement Proposal that introduced deterministic, hash-based .pyc files to improve reproducibility and caching behavior in Python.
  • B. PEP 483
    PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
  • C. PEP 544
    PEP 544 is a Python Enhancement Proposal that introduces structural subtyping via typing.Protocol, enabling static type checkers to support interface-like behavior based on object capabilities rather than inheritance.
  • D. PEP 624
    PEP 624 is a Python Enhancement Proposal that specifies the removal of the Py_UNICODE encoder APIs from the CPython C API to streamline and modernize Unicode handling in Python.
  • E. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PEP 425
Triple: [packaging, supportsStandard, PEP 425]
Generated description
PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PEP 425
Target entity description: PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • A. PEP 552
    PEP 552 is a Python Enhancement Proposal that introduced deterministic, hash-based .pyc files to improve reproducibility and caching behavior in Python.
  • B. PEP 483
    PEP 483 is a Python Enhancement Proposal that lays out the theoretical foundations and design principles for Python’s type hinting and generic types system.
  • C. PEP 544
    PEP 544 is a Python Enhancement Proposal that introduces structural subtyping via typing.Protocol, enabling static type checkers to support interface-like behavior based on object capabilities rather than inheritance.
  • D. PEP 624
    PEP 624 is a Python Enhancement Proposal that specifies the removal of the Py_UNICODE encoder APIs from the CPython C API to streamline and modernize Unicode handling in Python.
  • E. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d2f79881909556894728e255ab completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c9452ab08190a0539964b1b90f86 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.